10 дней назад
Distinguished Technologist, Agentic AIOps & Self-Driving Networks
194 000 - 412 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distinguished Technologist, Agentic AIOps & Self-Driving Networks (AI/Networking): Architecting an end-to-end assurance substrate and agentic automation layer for self-driving networks with an accent on telemetry normalization, graph reasoning, safe remediation, and multi-agent orchestration. Focus on designing production AIOps evaluation, deterministic rollback, cloud-native services, and cross-organization technical strategy.
Location: Onsite, primarily from an HPE office in the United States; the salary range specifically covers California
Salary: USD 194,000–412,500 annual base salary in California; variable incentives may also be offered.
Company
is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and act on data and applications.
What you will do
- Own end-to-end assurance architecture covering telemetry normalization, correlation, root-cause analysis, guarded remediation, and outcome verification.
- Define a shared model spanning intent, topology, configuration, identity, policy, and operational state.
- Architect planning and tool-use agents, MCP tool servers, and multi-agent orchestration across networking domains.
- Design safety controls including approval gates, policy enforcement, remediation tiers, blast-radius limits, and deterministic rollback.
- Establish evaluation practices using fault corpora, replayable incident harnesses, MTTR, and false-escalation metrics.
- Drive strategy across business units, influence executive and product stakeholders, and mentor senior technical leaders.
Requirements
- 15+ years of engineering and architectural leadership building and operating large distributed systems in production.
- Broad networking experience across campus, data center, WAN/SD-WAN, and security, with deep expertise in at least three areas.
- Strong knowledge of EVPN-VXLAN, BGP, SAI-level behavior, overlay/underlay networking, identity and policy enforcement, and gNMI/OpenConfig telemetry.
- Experience with graph modeling and algorithms, LLM agents, tool calling, MCP, agent evaluation, classical machine learning, and time-series modeling.
- Production AIOps or observability experience, plus cloud-native systems using Kubernetes, microservices, Kafka, time-series or OLAP stores, and hybrid or public cloud.
- Strong hands-on Python and Go coding skills, principal or distinguished-level impact across multiple organizations, and a bachelor's, master's, or PhD preferred.
Culture & Benefits
- Health, financial, and emotional wellbeing benefits for employees and their families.
- Personal and professional development programs supporting technical expertise and career mobility.
- Inclusive and accessible workplace with accommodations available during the application and interview process.
- Flexibility to manage work and personal needs within an onsite work model.
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